Deliverables
The published lessons by the GAITPG with text, slides, and recordings from the April 24, 2026 training are available on the course website: https://github.orbiscascade.org/generative-ai.
Charge
The Generative AI Training Project Group (GAIT) will publish a self-led introductory course on generative AI topics relating to library work. Lessons may consist of text, videos, and links to external resources for further reading. By completing the course, Alliance member staff will be able to:
- Define essential terms in Generative AI.
- Describe emerging applications of Generative AI in library services.
- Explain in non-technical terms how tools like ChatGPT generate text from prompts.
- Recognize common problems and limitations in AI-generated output.
- Identify ethical, privacy, and intellectual property considerations in applying AI to library work.
- Apply criteria for assessing Generative AI tools for use in library work or academic research.
- Construct effective prompts for useful results.
Members
- Chase Andrews, Linfield University
- Jason Cabaniss, Seattle University
- David Carson, Oregon Health & Science University
- Electra Enslow, University of Washington
- Shannon Kealey, Willamette University
- Jeremiah Kellogg, Eastern Oregon University
- Norman Lee, University of Idaho
- Jaclyn Parrott, Eastern Washington University
- Chelsea Riddle, Central Washington University